Triple
T4358843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Waits |
E98614
|
entity |
| Predicate | filmAppearance |
P795
|
FINISHED |
| Object | Short Cuts |
E239550
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Short Cuts | Statement: [Tom Waits, filmAppearance, Short Cuts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Short Cuts Context triple: [Tom Waits, filmAppearance, Short Cuts]
-
A.
Short Cuts
Short Cuts is a Toronto International Film Festival program showcasing a curated selection of international and Canadian short films across genres and styles.
-
B.
Short Cuts
chosen
Short Cuts is a 1993 ensemble drama film directed by Robert Altman, adapted from Raymond Carver’s short stories and known for its interwoven narratives about Los Angeles residents.
-
C.
In the Cut
In the Cut is a 2003 neo-noir erotic thriller film directed by Jane Campion, known for its gritty exploration of female sexuality and urban violence in contemporary New York City.
-
D.
The Cut
The Cut is a digital publication and vertical of New York Magazine that focuses on fashion, culture, politics, and women’s issues.
-
E.
Get Shorty (film)
Get Shorty (film) is a 1995 crime-comedy movie about a smooth-talking loan shark navigating Hollywood, based on Elmore Leonard’s novel of the same name.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e1bfa48190bb506d9ca1ed7b6a |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbbcb6188190a8a4da6a080f0d61 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:16 p.m.